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- Tasks: Lead the design and implementation of data pipelines using Databricks and Spark.
- Company: Dynamic data engineering consultancy based in Northern Ireland.
- Benefits: Competitive salary, mentorship opportunities, and a collaborative team environment.
- Other info: Opportunity to mentor engineers and grow within a supportive team.
- Why this job: Shape architecture decisions and make a real impact on client solutions.
- Qualifications: Over 7 years of data engineering experience with strong skills in Databricks, Spark, and Python.
The predicted salary is between 60000 - 84000 £ per year.
A data engineering consultancy is seeking a Senior Databricks Data Engineer based in Northern Ireland. The role involves leading the design and implementation of data pipelines, providing technical leadership, and engaging with clients to translate business needs into solutions.
Ideal candidates will have over 7 years of data engineering experience, with strong skills in Databricks, Spark, and Python. This position offers an opportunity to shape architecture decisions and mentor engineers within a collaborative team environment.
Databricks Data Platform Lead & Architect employer: ISx4 Group
Contact Detail:
ISx4 Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Databricks Data Platform Lead & Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Databricks. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data pipelines and projects using Databricks, Spark, and Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data engineering and Databricks. Practice explaining your past projects and how you've solved complex problems – this is your chance to shine!
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Databricks Data Platform Lead & Architect
Some tips for your application 🫡
Show Off Your Experience: When you're writing your application, make sure to highlight your 7+ years of data engineering experience. We want to see how your skills in Databricks, Spark, and Python have shaped your career and the projects you've worked on.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Databricks Data Platform Lead & Architect role. We love seeing candidates who understand what we’re looking for.
Be Clear About Your Leadership Skills: Since this role involves providing technical leadership, be sure to mention any experience you have in mentoring or leading teams. We want to know how you can guide others and contribute to our collaborative environment.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at ISx4 Group
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss your experience with data pipelines, Spark, and Python in detail. Prepare examples of how you've used these technologies to solve real-world problems.
✨Showcase Your Leadership Skills
Since this role involves providing technical leadership, think about times when you've led a project or mentored others. Be prepared to share specific instances where your guidance made a difference, and how you can bring that same energy to their team.
✨Understand Their Business Needs
Research the consultancy and their clients to understand their business challenges. This will help you translate your technical skills into solutions that meet their needs. Bring insights to the table about how you can add value to their projects.
✨Prepare Questions That Matter
Interviews are a two-way street, so come armed with thoughtful questions. Ask about their current projects, team dynamics, and how they envision the future of their data architecture. This shows you're genuinely interested and engaged.